Alternatives and similar repositories for EMD_VAE

Users that are interested in EMD_VAE are comparing it to the libraries listed below

• jet-net / JetNet
  For developing and reproducing ML + HEP projects.
  ☆23Updated last week
• iaifi / summer-school-2024
  ☆23Updated last year
• iaifi / summer-school-2022
  ☆16Updated 3 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆14Updated 4 years ago
• hqucms / ParticleNet
  Implementation of the jet classification network in ParticleNet: Jet Tagging via Particle Clouds
  ☆48Updated 5 years ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated 2 years ago
• thaler-lab / EnergyFlow
  Python package for the EnergyFlow suite of tools.
  ☆42Updated 6 months ago
• iaifi / summer-school-2023
  ☆22Updated 2 years ago
• fizisist / LorentzGroupNetwork
  Neural network architecture that is fully equivariant with respect to transformations under the Lorentz group, a fundamental symmetry of …
  ☆51Updated 3 years ago
• jmduarte / capstone-particle-physics-domain
  Website for Particle Physics Domain (UCSD Capstone)
  ☆12Updated 3 years ago
• google-deepmind / flows_for_atomic_solids
  ☆52Updated 2 years ago
• ulissigroup / uncertainty_benchmarking
  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.
  ☆42Updated 4 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆33Updated 4 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• xitorch / xitorch
  Differentiable scientific computing library
  ☆154Updated 11 months ago
• noegroup / rigid-flows
  ☆11Updated last year
• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆24Updated last year
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆33Updated 4 years ago
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆30Updated last year
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• gerkone / egnn-jax
  E(n) Equivariant GNN in jax
  ☆13Updated last year
• rajeshrinet / pygl
  PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
  ☆28Updated 3 months ago
• jjgoings / pade
  do the Fourier transform using the method of Padé approximants
  ☆22Updated 9 months ago
• e3nn / e3nn-tutorial-mrs-fall-2021
  e3nn tutorial for Materials Research Society Fall Meeting 2021
  ☆13Updated 3 years ago
• zhaonat / cluster_monte_carlo
  Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
  ☆30Updated 7 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• marylou-gabrie / flonaco
  ☆19Updated 3 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆78Updated 5 years ago